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

 

Mohammad-Reza Neadmoghaddam | Nanotechnology | Best Researcher Award

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Dr. Mohammad-Reza Neadmoghaddam | Nanotechnology | Best Researcher Award

Avicenna Research Institute at Avicenna Research Institute, Iran

Mohammad-Reza Nejadmoghaddam is a highly accomplished researcher specializing in nanomedicine, particularly in the development of targeted drug delivery systems and biopolymer-based formulations. With a Ph.D. in Nanomedicine from Tehran University of Medical Sciences, his research focuses on innovative approaches such as antibody-drug conjugates (ADCs) for cancer immunotherapy and nano-assemblies for wound care. His expertise spans molecular microbiology, nanotechnology, and biomolecule purification, supported by extensive experience in experimental design and data analysis. Mohammad-Reza has received numerous accolades, including grants from prestigious institutions like the Iran National Science Foundation and Avicenna Research Institute. His contributions to the field are underscored by publications in renowned journals and presentations at international conferences. He excels in laboratory techniques such as molecular cloning, protein purification using magnetic beads, and nanoparticle synthesis. Mohammad-Reza Nejadmoghaddam is recognized for his research acumen, collaborative spirit, and dedication to advancing nanomedicine through innovative research and effective scientific communication.

Professional Profiles:

Education

Ph.D. in Nanomedicine, Nanotechnology Research Center, School of Pharmacy, Tehran University of Medical Sciences (TUMS), 2012-2018. Thesis titled “Targeted Drug Delivery Nanomedicine against Prostate Cancer Cell Lines Based on PLAC1 Antibody Drug Conjugate (ADC)”, supervised by Dr. Rassoul Dinarvand, Dr. Amir-Hassan Zarnani, and Dr. Ramin Ghahremanzadeh. MSc in Molecular Microbiology, Azad University, Jahrom Branch, 2003-2006. Thesis titled “Extraction, Molecular Cloning, and small-scale expression of streptokinase gene from Streptococcus equisimilis H46A”, supervised by Dr. Mohammad Hossein Modarressi and Dr. Mohammad Babashamsi. BSc in Microbiology, Azad University, Tonekabon Branch, 1995-1999.

Academic Supervision

Mohammad-Reza Nejadmoghaddam has been actively involved in academic supervision and consultancy roles, primarily focusing on guiding doctoral and master’s students in their research endeavors. Since 2019, he has served as the Main Supervisor for PhD Student Tahereh Zarnoosheh Farahani at Islamic Azad University, overseeing the development of anti-small molecule antibodies and ELISA techniques for pharmacokinetic studies of SN38-containing antineoplastic drugs. Additionally, from 2019 to 2020, he supervised MSc student Fatemeh Mozafari at the Science and Research Branch of Islamic Azad University, where she investigated the antibacterial properties and in vitro toxicity of Graphene oxide on human skin cells. In 2023, Nejadmoghaddam took on the role of Supervisor for PhD student Sara Dadras at the Avicenna Research Institute, focusing on the treatment of immature bovine oocytes using cAMP modulators and forskolin formulations in vitro. Furthermore, in 2022 and 2021, he served as Co-Supervisor for PhD students at Islamic Azad University and Shahid Beheshti University, respectively, contributing to projects involving monoclonal antibody characterization and the effects of training regimens on gene expression in rats.

Research Interest

Mohammad-Reza Nejadmoghaddam’s research interests primarily focus on nanomedicine applications aimed at diagnosing and treating challenging diseases. His work includes developing nano-assemblies of antibody-drug-conjugates (ADC) for cancer immunotherapy and biopolymer-based nano-formulations for advanced wound care and skin dressing. He is also involved in leveraging molecular biology and nanotechnology advancements for biomolecule purification. Additionally, Nejadmoghaddam explores nanomedicine’s potential in reproductive biology and assisted reproductive technologies (ART), aiming to enhance therapeutic outcomes and address critical medical needs.

Award and Honors

Mohammad-Reza Nejadmoghaddam has been recognized with several prestigious awards and grants for his outstanding contributions to nanomedicine and biomedical research. In 2024, he received a grant from the Iran National Science Foundation (INSF) for his project titled “The preparation and characterization of FSK/IBMX-loaded PLGA nanoparticles as a cAMP-elevating nanomedicine for improving IVM.” This project, based at the Nanobiotechnology Research Center, Avicenna Research Institute, Shahid Beheshti University, focuses on advancing nanotechnology applications in medical sciences. In 2023, he was awarded another grant from the Avicenna Research Institute (ARI) for his work on Altrazeal® wound dressing using Nanoflex technology. Additionally, in 2020, he received funding from ACECR for developing alginate-based sponge dressings for high exudate wounds. Nejadmoghaddam’s accolades also include the Iranian Nanotechnology Society’s prize in 2018 for the best research paper published in a top-cited journal, as well as the Distinguished Researcher award from the Avicenna Research Institute in the same year, commemorating his significant contributions on National Doctors’ Day.

Research Skills

Mohammad-Reza Nejadmoghaddam possesses extensive research skills cultivated over years of dedicated study and professional practice in nanomedicine. His expertise spans experimental design, encompassing both controlled experiments and observational studies aimed at advancing drug delivery systems and biopolymer-based formulations. He excels in data analysis, employing quantitative and qualitative methods to extract meaningful insights from complex datasets in molecular microbiology and nanotechnology research. Furthermore, Mohammad-Reza is adept at conducting thorough literature reviews, identifying gaps in knowledge, and contributing novel perspectives to his field. His proficiency extends to a wide array of laboratory techniques, including molecular cloning, protein purification using magnetic beads, and nanoparticle synthesis for targeted drug delivery applications. His track record includes securing funding from prestigious institutions such as the Iran National Science Foundation and Avicenna Research Institute, underscoring his capability in grant writing and funding acquisition. Mohammad-Reza Nejadmoghaddam’s research prowess is complemented by his effective communication skills, demonstrated through publications in reputable journals and presentations at international conferences, reflecting his commitment to advancing nanomedicine through collaborative and innovative research endeavors.

Publications

  • Antibody-Drug Conjugates: Possibilities and Challenges
    • Authors: MR Nejadmoghaddam, A Minai-Tehrani, R Ghahremanzadeh, …
    • Year: 2019
    • Citations: 220
    • Journal: Avicenna Journal of Medical Biotechnology
  • Comparison of the Antibacterial Effects of Nanosilver With 18 Antibiotics on Multidrug Resistance Clinical Isolates of Acinetobacter baumannii
    • Authors: MS Sarah Niakan, Mohammad Niakan, Saeed Hesaraki
    • Year: 2013
    • Citations: 49
    • Journal: Jundishapur Journal of Microbiology
  • Fast and highly efficient purification of 6× histidine-tagged recombinant proteins by Ni-decorated MnFe2O4@SiO2@NH2@2AB as novel and efficient affinity adsorbent
    • Authors: Z Rashid, H Naeimi, AH Zarnani, M Nazari, MR Nejadmoghaddam, …
    • Year: 2016
    • Citations: 36
    • Journal: RSC Advances
  • Production and purification of streptokinase by protected affinity chromatography
    • Authors: M Babashamsi, MH Razavian, MR Nejadmoghaddam
    • Year: 2009
    • Citations: 30
    • Journal: Avicenna Journal of Medical Biotechnology
  • Placenta-specific1 (PLAC1) is a potential target for antibody-drug conjugate-based prostate cancer immunotherapy
    • Authors: MR Nejadmoghaddam, AH Zarnani, R Ghahremanzadeh, R Ghods, …
    • Year: 2017
    • Citations: 29
    • Journal: Scientific Reports
  • Nickel-Salen supported paramagnetic nanoparticles for 6-His-target recombinant protein affinity purification
    • Authors: Z Rashid, R Ghahremanzadeh, MR Nejadmoghaddam, M Nazari, …
    • Year: 2017
    • Citations: 26
    • Journal: Journal of Chromatography A
  • Optimized protocol for soluble prokaryotic expression, purification and structural analysis of human placenta specific-1 (PLAC1)
    • Authors: M Nazari, AH Zarnani, R Ghods, R Emamzadeh, S Najafzadeh, …
    • Year: 2017
    • Citations: 18
    • Journal: Protein Expression and Purification
  • Cloning and overexpression of active recombinant fusion streptokinase: a new approach to facilitate purification
    • Authors: MR Nejadmoghaddam, MH Modarressi, M Babashamsi, M Chamankhah
    • Year: 2007
    • Citations: 14
    • Journal: Pakistan Journal of Biological Sciences
  • Profiling and quantitative evaluation of three Nickel-Coated magnetic matrices for purification of recombinant proteins: helpful hints for the optimized nanomagnetisable matrix …
    • Authors: MR Nejadmoghaddam, M Chamankhah, S Zarei, AH Zarnani
    • Year: 2011
    • Citations: 11
    • Journal: Journal of Nanobiotechnology
  • Bioimaging based on antibody-conjugated amphiphilic polymer-core@shell quantum dots
    • Authors: AH Zarnani, MR Nejadmoghaddam, MM Moghaddam, F Mohammadi, …
    • Year: 2018
    • Citations: 5
    • Journal: Emerging Materials Research

Venkata Praveen Kumar Kaluvakuri | Computer Science | Best Researcher Award

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Mr. Venkata Praveen Kumar Kaluvakuri | Computer Science | Best Researcher Award

Senior Software Engineer at Technology Partners Inc, United States.

Venkata Praveen Kumar Kaluvakuri is an accomplished Oracle Certified Java/J2EE Software Developer with over 13 years of experience in crafting customized solutions for web-based applications. Throughout his career, he has been actively involved in all phases of the Software Development Life Cycle (SDLC), from requirement analysis and design to implementation, testing, and support. Venkata possesses strong proficiency in Java programming, with expertise in functional programming, lambda expressions, and design patterns. He has demonstrated his skills in developing UI applications using NodeJs and Angular, and has extensive experience in building and managing cloud infrastructure on AWS, employing services like EC2, S3, and Lambda.

Professional Profiles:

Education

Venkata Praveen Kumar Kaluvakuri holds a Master of Science in Computer Science from the University of Central Missouri and a Bachelor of Technology from Jawaharlal Nehru Technological University Kakinada, India. He is also an Oracle Certified Java Programmer, adding a significant credential to his extensive academic background.

Professional Experience

Venkata Praveen Kumar Kaluvakuri, a seasoned software engineer with over 13 years of experience, specializes in Java, cloud environments, and AI/ML integration. At Enterprise Fleet Management, he developed high-performance UI pages, migrated applications to AWS, and implemented microservices. At MasterCard, he contributed to developing RESTful services and automation testing. His work at Wells Fargo involved enhancing UIs and developing web services, while his tenure at Vienna Infosys focused on J2EE design patterns and web services. With expertise across multiple frameworks and technologies, Praveen excels in delivering robust, scalable software solutions.

Research Interest

Venkata Praveen Kumar Kaluvakuri’s research interests lie in the intersection of software development and emerging technologies. He is particularly focused on the integration of AI/ML techniques in cloud environments to solve complex cybersecurity problems. Additionally, he is interested in optimizing performance in web-based applications, leveraging functional programming, and exploring the potential of serverless architectures in AWS. Praveen is also keen on advancing the use of microservices and developing innovative solutions for enterprise-level challenges, constantly seeking to enhance the efficiency and security of software systems.

Award and Honors

Venkata Praveen Kumar Kaluvakuri has earned several awards and honors throughout his career, highlighting his dedication and excellence in the field of software development. He is an Oracle Certified Java Programmer, a testament to his expertise in Java programming. His outstanding performance and contributions to project success have earned him the Employee of the Month award multiple times at Enterprise Fleet Management. At MasterCard, he was honored with the Outstanding Project Award for leading and completing a critical project on time and within budget. Additionally, he received the Innovation Excellence Award at Wells Fargo for developing innovative solutions and improving the efficiency of web-based applications. His exceptional teamwork and collaboration on high-impact projects at Computer Sciences Corporation, India, earned him the Team Excellence Award.

Research Skills

Venkata Praveen Kumar Kaluvakuri has developed a robust set of research skills over his career in software development and IT solutions. With a keen focus on problem-solving and analysis, he excels in dissecting complex issues and devising innovative solutions. His expertise extends to experimental design, where he applies rigorous methodologies to evaluate software performance, scalability, and reliability. Venkata is adept at data analysis, employing advanced tools to extract valuable insights from large datasets, crucial for optimizing software functionalities and user experiences. Additionally, he maintains a strong grasp of current research trends through meticulous literature reviews, ensuring he remains at the forefront of software development methodologies, frameworks, and technologies. With strong technical writing abilities, Venkata effectively communicates his findings, prepares detailed technical reports, and contributes to scholarly publications. His collaborative spirit and adeptness in cross-functional teamwork further underscore his ability to drive innovation and project success in diverse professional environments.

Publications

  1. SECURING THE SERVERLESS FRONTIER: A JAVA FULL STACK PERSPECTIVE ON AI/ML INTEGRATION IN THE CLOUD
    • Authors: VP Peta, SKR Khambam, VPK Kaluvakuri
    • Year: 2023
    • Journal: International Journal For Advanced Research In Science & Technology
    • Volume: 13
    • Issue: 07
    • Citations: Not specified
  2. AI-DRIVEN ROOT CAUSE ANALYSIS FOR JAVA MEMORY LEAKS
    • Authors: VPK Kaluvakuri, VP Peta, SKR Khambam
    • Year: 2022
    • Journal: International Journal For Innovative Engineering and Management Research
    • Volume: 12
    • Issue: Not specified
    • Citations: Not specified
  3. The Cloud as A Financial Forecast: Leveraging AI For Predictive Analytics
    • Authors: SKR Khambam, VPK Kaluvakuri, VP Peta
    • Year: 2022
    • Journal: International Journal For Recent Developments In Science & Technology
    • Volume: 6
    • Issue: 08
    • Citations: Not specified
  4. Serverless Java: A Performance Analysis for Full-Stack AI-Enabled Cloud Applications
    • Authors: VPK Kaluvakuri, VP Peta, SKR Khambam
    • Year: 2021
    • Journal: International Journal For Recent Developments in Science & Technology
    • Volume: 5
    • Issue: 05
    • Citations: Not specified