Size Ai | Engineering | Research Excellence Award

Mr. Size Ai | Engineering | Research Excellence Award 

Harbin Institute of Technology | China

Dr. Size Ai, currently a PhD researcher at the Harbin Institute of Technology, is an emerging scholar in the field of mechanical metamaterials and advanced structural design. Holding a PhD in Mechanics from Harbin Institute of Technology, Dr. Ai has developed strong expertise in the design, modeling, and steady-state analysis of mechanical metamaterials, focusing particularly on negative stiffness structures, multi-stable metastructures, and pneumatic actuators with tunable mechanical responses. His academic journey reflects a commitment to high-quality research, having published three SCI-indexed papers in top-tier JCR Q1 journals such as Thin-Walled Structures and Engineering Structures. His works include: “Analysis of Negative Stiffness Structures with B-spline Curved Beams” (Thin-Walled Structures, 2024), “Design and Analysis of an Origami-Embedded Multi-Stable Metastructure with Shape Reconfiguration” (Engineering Structures, 2025), and “Deep Learning-Based Structural Design and Mechanical Properties Analysis of Pneumatic Actuators with Tunable Multistability” (Thin-Walled Structures, 2025). These publications highlight Dr. Ai’s ability to integrate theoretical modeling, simulation optimization, deep learning techniques, and experimental validation to solve complex challenges in structural mechanics. He has contributed significantly to ongoing national research through his involvement in the National Natural Science Foundation of China project (Grant No. 12372041), which further demonstrates his active engagement in advancing scientific knowledge. One of Dr. Ai’s major contributions includes developing a configuration parameterization method based on B-spline curves to customize negative stiffness characteristics in metamaterials. Additionally, he proposed a steady-state switching strategy using reconfigurable energy barrier elements, enabling precise control over multi-stability and shape transformation in engineered structures. His work successfully demonstrates, through combined theory, simulations, and experiments, the feasibility of programmable mechanical behavior after forming—an advancement with promising applications in soft robotics, adaptive structures, vibration isolation, and smart materials. Dr. Ai’s research continues to attract academic attention, with citations indexed in the Web of Science database. He maintains a strong ethical commitment to research integrity, with no consultancy projects, patents, or books yet undertaken. While he currently holds no editorial appointments, professional memberships, or formal collaborations, his research trajectory shows excellence, independence, and innovation, positioning him as a competitive candidate for the Research Excellence Award. Dr. Ai affirms that all submitted information is accurate, verifiable, and supported by relevant research links, including: 10.1016/j.tws.2025.114287 and 10.1016/j.tws.2023.111418. He fully agrees to the terms, policies, and responsibilities associated with this award nomination and submits this application with the highest level of integrity.

Profile: Scopus

Featured Publications

Ai, S., Xie, Z., & Wei, J. (2025, November). Deep learning-based structural design and mechanical properties analysis of pneumatic actuators with tunable multistability.

Ai, S., Hou, S., Wei, J., & Xie, Z. (2025, October). Design and analysis of an origami-embedded multi-stable metastructure with shape reconfiguration.

Hou, S., Wei, J., Ai, S., & Tan, H. F. (2025, March). Broadband nonlinear vibration isolation for a friction dynamic system via quasi-zero stiffness isolator.

Bian, S., Ai, S., Wei, J., & Qingxiang, J. (2025, March). Structural design and performance analysis of large inflatable solar membrane reflector.

Ai, S., Wei, J., Xie, Z., & Tan, H. F. (2023, November). Analysis of negative stiffness structures with B-spline curved beams.

Xiaosheng Yu | Business | Best Researcher Award

Prof Dr. Xiaosheng Yu | Business | Best Researcher Award 

Henan University of Animal Husbandry and Economy | china

Professor Xiaosheng Yu is a distinguished scholar and leader in the field of cold chain logistics and supply chain management, with a strong record of research, innovation, and practical impact. Recognized as an Academic and Technological Leader of Henan Province, he has received multiple accolades, including the Teaching Excellence Award of Henan Provincial Universities, recognition as a High-level Talent of Henan Province (Category C), and designation as a Young and Middle-aged Backbone Teacher of Henan Province. Additionally, he holds the Education Management Talent certification issued by the Department of Education of Henan Province, reflecting his broad expertise in both academic leadership and applied research. Professor Yu has led a wide array of research initiatives, serving as principal investigator for one National Social Science Foundation project, five provincial or ministerial-level projects, and an ongoing provincial project. His research contributions have generated substantial academic influence, with a total of 201 citations, and he has published 23 peer-reviewed papers indexed in major databases including SCI and Scopus. These publications span topics in cold chain logistics business models, technological innovation, operational management, and supply chain efficiency. Professor Yu has also contributed significantly to standard-setting and policy development in the logistics sector. He played a central role in reviewing and finalizing the National Occupational Skill Standard for Cold Storage Workers (2020 edition) and has guided numerous enterprises in cold chain logistics innovation. His expertise has informed the formulation of provincial logistics development plans, enabling high-quality and technologically advanced growth in regional logistics systems. A prolific author, Professor Yu has published six textbooks and academic monographs with ISBN numbers, providing a foundation for knowledge dissemination and training in cold chain logistics and operational management. He holds two authorized invention patents, reflecting his commitment to technological innovation and practical solutions in logistics engineering. Furthermore, his editorial service as a board member of the Journal of Henan University of Animal Husbandry and Economy and his active participation in professional organizations, including as Council Member of the China Society of Logistics and Vice President of the Henan Logistics Association, underscore his leadership and recognition within the professional community. Professor Yu’s research agenda integrates advanced data analytics, technological innovation, and operational management to improve efficiency, traceability, and sustainability in cold chain logistics. He has established a multidimensional traceability system for cold chain products, conducted continuous research on cold chain business models, and championed the adoption of information technology to optimize supply chain performance. His work has generated measurable improvements in industry standards, enterprise operations, and regional logistics planning, reflecting a sustained commitment to bridging theory and practice. Through his interdisciplinary research, policy contributions, and industry engagement, Professor Xiaosheng Yu has advanced the development of cold chain logistics in China, establishing innovative methodologies, operational frameworks, and technological solutions that enhance the efficiency, safety, and sustainability of food and product supply chains. His work exemplifies the integration of academic excellence, industrial relevance, and societal impact, positioning him as a leading figure in logistics and supply chain research.

Profile: Orcid | Author Profile

Featured Publications

Yu, X. (2021). Image enhancement of cross-border e-commerce logistics video surveillance based on partial differential equations. Advances in Mathematical Physics, 2021, 9544018. https://doi.org/10.1155/2021/9544018

Yu, X. (2021). Design and implementation of a low‐cost universal RFID wireless logistics terminal in the process of logistics traceability. Journal of Sensors, 2021, 9755258. https://doi.org/10.1155/2021/9755258

Bramhaiah Kommula | Materials Science | Best Researcher Award

Assist Prof Dr. Bramhaiah Kommula | Materials Science | Best Researcher Award

Assist Prof Dr. Bramhaiah Kommula | St. Joseph’s University Bangalore | India

Dr. Bramhaiah Kommula is an accomplished researcher and academic currently serving as an Assistant Professor in the Department of Chemistry at St. Joseph’s University, Bengaluru. His research embodies a multidisciplinary approach at the intersection of nanomaterials, photochemistry, and sustainable energy, with a focus on developing advanced functional luminescent nanomaterials for energy conversion, storage, and environmental remediation. Dr. Kommula earned his Ph.D. in Chemistry from Mangalore University in 2018 under the supervision of Dr. Neena S. John at the Centre for Nano and Soft Matter Sciences (CeNS), Bengaluru, where he investigated the “Synthesis and Properties of Graphene-Based Hybrid Materials Employing Chemical Routes.” Following his doctoral studies, Dr. Kommula pursued postdoctoral research at prestigious institutes including IISER Berhampur (2019–2022) with Dr. Santanu Bhattacharyya and IISER Mohali (2022–2024) with Prof. Ujjal K. Gautam. His postdoctoral work focused on the design and engineering of carbon-based nanostructures and their photocatalytic applications in solar fuel generation, hydrogen evolution, and selective organic transformations. He also contributed to the development of metal-free, waste-derived carbon dots and explored their photophysical properties for green hydrogen production, CO₂ reduction, and photoinduced organic catalysis. Dr. Kommula’s current research at St. Joseph’s University integrates nanomaterial synthesis, photophysical studies, and energy applications, emphasizing sustainable approaches to convert plastic waste into high-value carbon dots (CDs) and utilize them as efficient metal-free photocatalysts. Dr. Kommula has also authored several book chapters published by Springer Nature and holds a provisional Indian patent on graphitic carbon dots. Dr. Kommula’s research excellence has been acknowledged through several prestigious fellowships, including Institute Postdoctoral Fellowships from IISER Mohali and IISER Berhampur, and DST Senior and Junior Research Fellowships. His scientific leadership is evident in his ongoing supervision of three Ph.D. students and his submission of major national funding proposals under ANRF and DST schemes aimed at developing sustainable photocatalytic systems for hydrogen and value-added chemical production. Overall, Dr. Bramhaiah Kommula’s research exemplifies innovation-driven science that bridges materials chemistry and renewable energy technologies. His long-term goal is to pioneer eco-friendly nanomaterials that transform environmental waste into useful resources, contributing significantly toward achieving sustainable energy solutions and carbon-neutral technologies for the future.

Profiles: Orcid | Google Scholar

Featured Publications

Kommula, B., & Sriramadasu, V. K. (2025). Room temperature red phosphorescence enabled by alkali treatment in niobium carbide-derived carbon dots. Journal of Luminescence, 274, 121591. https://doi.org/10.1016/j.jlumin.2025.121591

Roy, R. S., Sil, S., Mishra, S., Banoo, M., Swarnkar, A., Kommula, B., De, A. K., & Gautam, U. K. (2025). Layer width engineering in carbon nitride for enhanced exciton dissociation and solar fuel generation. ACS Materials Letters, 7(4), 1385–1393.

Mandal, R., Biswal, J. R., Kommula, B., & Bhattacharyya, S. (2025). 2,2′:5′,2″:5″,2‴‐Quaterthiophene nanoparticles and single-walled CNT composite: An organic nanohybrid for solar H₂ production and simultaneous photoreformation of plastic wastes. ChemCatChem, 17(3), e202500307.

Kommula, B., & Gautam, U. K. (2025). A two-step strategy for residue-free chemical conversion of plastic waste to carbon dots: Upscaling and solvent recycling prospects. Carbon, 234, 119960.

Dutta, B., Kommula, B., Kanwar, K., Gautam, U. K., & Sarma, D. (2025). Oxygen-harvesting carbon dot photocatalysts for ambient tandem oxidative synthesis of quinazolin-4(3H)-ones. Green Chemistry, 27(1), Article D5GC00962F.

Kommula, B., Kanwar, K., & Gautam, U. K. (2024). Waste polyethylene-derived carbon dots: Administration of metal-free oxidizing agents for tunable properties and photocatalytic hyperactivity. ACS Applied Materials & Interfaces, 16(31), 39470–39481.

Sapna Bijimanzil Abdulkareem | Materials | Best Researcher Award

Dr. Sapna Bijimanzil Abdulkareem | Materials | Best Researcher Award 

Dr. Sapna Bijimanzil Abdulkareem | KIT-Kalaignarkarunanidhi Institute of Technology | India

Dr. Sapna B. A is an accomplished academic and researcher with over 15 years of combined experience in research, teaching, and industry. Currently serving as Assistant Professor at Kalaignarkarunanidhi Institute of Technology, Coimbatore, she specializes in high-performance antennas for UWB, biomedical, and next-generation wireless applications. Her career spans notable roles in academia and engineering design, complemented by significant contributions to AICTE-funded projects, international publications (15 SCI/Scopus indexed papers), conference presentations, and workshops. A recipient of multiple research excellence awards and grants, Dr. Sapna is also a recognized IEEE and ISTE life member, known for her expertise in CST Studio, HFSS, ADS, MATLAB, and LabVIEW.

Author Profile

Orcid

Education

From the outset of her academic journey, Dr. Sapna B. A demonstrated a strong commitment to excellence in the field of Electronics and Communication Engineering. She earned her B.E. in Electronics and Communication Engineering from Jerusalem College of Engineering, University of Madras in 2000, followed by an M.E. in Communication Systems from B.S.A Crescent Engineering College, Anna University in 2007 with an impressive 76% score. Her academic quest reached its pinnacle with a Ph.D. in Information and Communication Engineering from Anna University in 2022, under the guidance of Dr. G. Srivatsun at PSG College of Technology. Her doctoral thesis, “High Performance Antennas for UWB Applications”, laid a strong research foundation in advanced antenna design, integrating both theoretical depth and practical innovation. These formative years shaped her as a scholar with a deep curiosity for communication systems and a vision to contribute significantly to wireless technology.

Experience

Dr. Sapna’s professional path reflects a rare blend of academic leadership, research excellence, and industry expertise. She began her career as a Lecturer at CSI College of Engineering, The Nilgiris (2001–2005), and later at B.S.A Crescent Engineering College, Chennai (2007–2008), where she honed her teaching skills and laboratory development expertise. Transitioning into the corporate world, she worked as a Design & Estimation Engineer at Zahra Technology & Communication Systems, Dubai (2008–2011), leading projects in large-scale security systems for iconic sites like the Dubai Mall and Princess Tower.

Returning to academia, she served as Assistant Professor at RVS College of Engineering & Technology and INFO Institute of Engineering, where she coordinated NBA accreditation, organized conferences, trained GATE aspirants, and strengthened industry-academia collaborations. Since 2022, she has been an Assistant Professor at Kalaignarkarunanidhi Institute of Technology, Coimbatore, overseeing the ANSYS 5G Antenna Innovation Hub and leading AICTE-funded projects on wearable and implantable biomedical antennas.

Research Focus

Dr. Sapna’s research is deeply rooted in innovative antenna technologies for biomedical, wearable, and next-generation wireless communication systems. Her work spans the design of planar antennas for WLAN and UWB applications, gain and bandwidth enhancement through defected ground structures and partial reflecting surfaces, and the development of low SAR implantable antennas to ensure patient safety in biomedical contexts. She has also contributed significantly to the use of frequency selective surfaces (FSS) for improving UWB antenna performance, and has pioneered flexible, biodegradable antenna designs for Wireless Body Area Networks (WBAN), aligning with sustainable technology goals. Over the years, she has authored 15 international journal papers, several of which appear in high-impact SCI-indexed publications such as AEU – International Journal of Electronics and Communications, Frequenz, and International Journal of Microwave and Wireless Technologies. Her contributions have also been widely recognized in the conference circuit, with 10 international presentations, numerous Scopus-indexed proceedings, and regular invitations to review manuscripts for prestigious journals.

Award and Recognition

In recognition of her exemplary research and academic leadership, Dr. Sapna has earned numerous awards and competitive grants. She received the Best Paper Award at the IEEE-sponsored RAEEUCCI 2025 for her groundbreaking work on implantable antennas for ulcer monitoring. In 2024, she was honored with the Faculty Excellence Award by SNS Institutions for her outstanding achievements in research and publication. Her consistent performance has been further acknowledged by multiple cash awards from KIT, amounting to ₹48,000 in 2024–25 and ₹20,000 in 2023–24, celebrating her contributions to advancing institutional research output. Demonstrating her capacity to attract major funding, she secured AICTE support worth ₹8,50,000 to conduct advanced faculty development programs and workshops, fostering skill enhancement and research capabilities among peers. These achievements highlight not only her scholarly impact but also her ability to deliver tangible, high-value outcomes in the realm of applied research.

Impact and Influence

Dr. Sapna’s influence extends beyond publications—she has mentored UG and PG students, guided innovative projects, and organized numerous national and international workshops on antenna design, wearable devices, and 5G/6G technologies. She actively contributes to professional communities as a Life Member of ISTE and IEEE member, sharing expertise in CST Studio, HFSS, ADS, MATLAB, and LabVIEW. Her collaborative approach bridges academia, industry, and research, enabling students and peers to access cutting-edge developments in RF and microwave engineering.

Publications

A compact flexible and biodegradable dual wideband implantable antenna for biotelemetry.

Author: Sapna Bijimanzil Abdulkareem , Ramasamy Kuppusamy
Journal: Electronics and Communications
Year: 2025

A flexible wideband wearable CPW antenna for WBAN application.

Author: Sapna B. A. and Ramasamy K.
Journal: Frequenz
Year: 2025

An ultraminiaturized implantable antenna with low SAR for biotelemetry.

Author: Sapna B. A. and Ramasamy K.
Journal: RF & Antenna System
Year: 2025

A novel wearable monopole antenna with controlled SAR using metamaterial.

Author: Sapna B. A. , Ramasamy K. and M. Jayasheela
Journal: Microwave and Wireless Technologies
Year: 2023

Conclusion

Prof. A. Anil Kumar’s exceptional academic achievements, groundbreaking research in Chemical Sciences, and dedication to fostering innovation make him a distinguished candidate for the Best Researcher Award. His contributions have not only advanced scientific understanding but also inspired the next generation of researchers. With a strong record of impactful publications, mentorship, and commitment to solving real-world challenges, Prof. Kumar continues to demonstrate the qualities of a visionary leader in his field, fully deserving of this prestigious recognition.

Seyedeh Hoda Alavizadeh | Pharmaceutical Science | Best Researcher Award

Assist Prof Dr. Seyedeh Hoda Alavizadeh | Pharmaceutical Science | Best Researcher Award

Assistant professor at Pharmaceutical Nanotechnology Department, School of Pharmacy, Mashhad University of Medical Sciences, Iran.

Seyedeh Hoda Alavizadeh is an accomplished assistant professor in pharmaceutical nanotechnology at Mashhad University of Medical Sciences, Iran. Her research focuses on innovative drug delivery systems, particularly liposomal formulations for targeted cancer therapy and neurodegenerative diseases. She has a strong academic background with a Pharm.D. and Ph.D. from MUMS, along with numerous honors including fellowships, grants, and awards like being recognized in the top 1% worldwide for her research. Her leadership extends to organizing international conferences and serving as a CRS ambassador. Alavizadeh’s contributions to pharmaceutical sciences are marked by her extensive publication record and active role in international collaborations and editorial activities.

Professional Profiles:

Education 🎓

Seyedeh Hoda Alavizadeh completed her Ph.D. in Pharmaceutical Nanotechnology at the School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran. Her doctoral research focused on the formulation and characterization of temperature-sensitive nanoliposomal cisplatin targeted with anti-Her-2/neu affibody, investigating its antitumor effects with local hyperthermia in vitro and in vivo using mouse tumor models. Under the guidance of Prof. Mahmoud Reza Jaafari, her work contributed significantly to understanding drug delivery mechanisms in cancer treatment. Prior to her Ph.D., she obtained her Pharm. D. from the same institution, specializing in vaccine delivery against leishmaniasis, supervised by Prof. Ali Khamesipour, Prof. Mahmoud Reza Jaafari, and Dr. Ali Badiee. Her Pharm. D. thesis focused on evaluating immune responses in mice inoculated with L. major mixed with LPD nanoparticles containing CpG ODN, demonstrating her early commitment to innovative pharmaceutical research.

Professional Experience

Since completing her education, Seyedeh Hoda Alavizadeh has served as an Assistant Professor at the Pharmaceutical Nanotechnology Department, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran. Her interdisciplinary research is grounded in innovation and quality, focusing on developing tumor microenvironment-responsive liposomes for anti-cancer drug delivery. Her expertise includes the formulation of triggered-release liposomes—such as thermo, REDOX, and pH-sensitive formulations—tailored to the tumor microenvironment for cancer therapy and chemo-immunotherapy. She has been actively involved in teaching courses on pharmacy practice, basic biochemistry, biology, cell culture, and advanced topics in drug delivery using nanoparticles.

Research Interest

Seyedeh Hoda Alavizadeh’s research interests are centered on pharmaceutical nanotechnology, with a focus on developing advanced liposomal formulations for targeted drug delivery in cancer therapy. Her research explores triggered-release systems responsive to the tumor microenvironment, including thermo-sensitive, REDOX-sensitive, and pH-sensitive formulations. She is particularly interested in enhancing the efficacy of chemotherapy through innovative liposomal designs and investigating their applications in chemo-immunotherapy. Additionally, she is passionate about developing liposomal formulations of phytochemicals for their antioxidant and neuroprotective roles in diseases like Alzheimer’s and Parkinson’s, contributing to advancements in nanomedicine for therapeutic interventions.

Award and Honors

Seyedeh Hoda Alavizadeh has been recognized with several prestigious honors and awards throughout her career. She served as a CRS Ambassador from 2021 to 2023, promoting excellence in controlled release science. In 2020, she was awarded the Fellowship of the CLINAM Conference and Exhibition, held in Basel, Switzerland, highlighting her contributions to nanomedicine research. Her academic pursuits were further supported by the DAAD Scholarship for the ProGRANT proposal writing course in 2018 and the NIMAD research grant in the same year. Notably, she received the Best Poster Presentation Award at the CLINAM10th Conference and Exhibition in 2017 and was also honored with a Fellowship at the same event, recognizing her impactful research contributions. In 2016, her work was distinguished globally, ranking in the top 1% of papers by Essential Science Indicator of Thomson Reuters ISI, underscoring her significant scholarly impact.

Research Skills

Seyedeh Hoda Alavizadeh possesses a robust skill set in pharmaceutical nanotechnology, focusing on advanced drug delivery systems. Her expertise spans the development of liposomal formulations tailored for targeted delivery of chemotherapeutic agents and phytochemicals, leveraging innovative strategies such as thermo-responsive, REDOX-sensitive, and pH-sensitive mechanisms to optimize drug efficacy while minimizing adverse effects. With a comprehensive understanding of biochemical assays, she proficiently evaluates drug encapsulation efficiencies, release kinetics, and therapeutic outcomes in experimental models. Her academic leadership is evident through roles like vice-scientific chair for the ICNN2021 conference, underscoring her organizational acumen and commitment to advancing nanoscience and nanotechnology. Additionally, her active involvement in international collaborations and editorial responsibilities showcases her dedication to peer-reviewed research and scientific excellence in pharmaceutics and nanomedicine.

Publications

  • Bioactivity assessment and toxicity of crocin: a comprehensive review
    • Authors: SH Alavizadeh, H Hosseinzadeh
    • Year: 2014
    • Citations: 422
  • Novel nanomicelle formulation to enhance bioavailability and stability of curcuminoids
    • Authors: M Hatamipour, A Sahebkar, SH Alavizadeh, M Dorri, MR Jaafari
    • Year: 2019
    • Citations: 102
  • Antitumor activity of PEGylated nanoliposomes containing crocin in mice bearing C26 colon carcinoma
    • Authors: M Rastgoo, H Hosseinzadeh, H Alavizadeh, A Abbasi, Z Ayati, MR Jaafari
    • Year: 2013
    • Citations: 90
  • Redox-sensitive nanoscale drug delivery systems for cancer treatment
    • Authors: E Mirhadi, M Mashreghi, MF Maleki, SH Alavizadeh, L Arabi, A Badiee, …
    • Year: 2020
    • Citations: 80
  • Induction of protection against leishmaniasis in susceptible BALB/c mice using simple DOTAP cationic nanoliposomes containing soluble Leishmania antigen (SLA)
    • Authors: H Firouzmand, A Badiee, A Khamesipour, VH Shargh, SH Alavizadeh, …
    • Year: 2013
    • Citations: 63
  • Improved therapeutic activity of HER2 Affibody-targeted cisplatin liposomes in HER2-expressing breast tumor models
    • Authors: SH Alavizadeh, J Akhtari, A Badiee, S Golmohammadzadeh, MR Jaafari
    • Year: 2016
    • Citations: 56
  • Targeting, biodistribution and tumor growth inhibiting characterization of anti-HER2 affibody coupling to liposomal doxorubicin using BALB/c mice bearing TUBO tumors
    • Authors: J Akhtari, SM Rezayat, M Teymouri, SH Alavizadeh, F Gheybi, A Badiee, …
    • Year: 2016
    • Citations: 48
  • Development of a topical liposomal formulation of Amphotericin B for the treatment of cutaneous leishmaniasis
    • Authors: MR Jaafari, M Hatamipour, SH Alavizadeh, A Abbasi, Z Saberi, S Rafati, …
    • Year: 2019
    • Citations: 46
  • The influence of phospholipid on the physicochemical properties and anti-tumor efficacy of liposomes encapsulating cisplatin in mice bearing C26 colon carcinoma
    • Authors: SH Alavizadeh, A Badiee, S Golmohammadzadeh, MR Jaafari
    • Year: 2014
    • Citations: 46
  • Development of topical liposomes containing miltefosine for the treatment of Leishmania major infection in susceptible BALB/c mice
    • Authors: Z Kavian, SH Alavizadeh, S Golmohamadzadeh, A Badiee, …
    • Year: 2019
    • Citations: 40
  • The molecular mechanisms of curcumin’s inhibitory effects on cancer stem cells
    • Authors: E Zendehdel, E Abdollahi, AA Momtazi‐Borojeni, M Korani, …
    • Year: 2019
    • Citations: 34

 

Pritisha Sarkar | Computer Science | Young Scientist Award

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

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